Looped Transformers Enhance Latent Reasoning
du_yilun · x · 2026-07-16
Sharing a new paper on Looped Transformers: the authors argue that while latent reasoning is fast, it struggles to match the accuracy of CoT at scale. The paper proposes using a looped padded backbone to provide a parallelizable workspace for latent thought, which can be trained similarly to supervised explicit CoT.<br><br>The core conclusion is that this relatively simple looped structure allows latent reasoning to achieve CoT-like performance while maintaining parallel efficiency.
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